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Serverless Analytics with Amazon Athena

You're reading from  Serverless Analytics with Amazon Athena

Product type Book
Published in Nov 2021
Publisher Packt
ISBN-13 9781800562349
Pages 438 pages
Edition 1st Edition
Languages
Authors (3):
Anthony Virtuoso Anthony Virtuoso
Profile icon Anthony Virtuoso
Mert Turkay Hocanin Mert Turkay Hocanin
Profile icon Mert Turkay Hocanin
Aaron Wishnick Aaron Wishnick
Profile icon Aaron Wishnick
View More author details

Table of Contents (20) Chapters

Preface 1. Section 1: Fundamentals Of Amazon Athena
2. Chapter 1: Your First Query 3. Chapter 2: Introduction to Amazon Athena 4. Chapter 3: Key Features, Query Types, and Functions 5. Section 2: Building and Connecting to Your Data Lake
6. Chapter 4: Metastores, Data Sources, and Data Lakes 7. Chapter 5: Securing Your Data 8. Chapter 6: AWS Glue and AWS Lake Formation 9. Section 3: Using Amazon Athena
10. Chapter 7: Ad Hoc Analytics 11. Chapter 8: Querying Unstructured and Semi-Structured Data 12. Chapter 9: Serverless ETL Pipelines 13. Chapter 10: Building Applications with Amazon Athena 14. Chapter 11: Operational Excellence – Monitoring, Optimization, and Troubleshooting 15. Section 4: Advanced Topics
16. Chapter 12: Athena Query Federation 17. Chapter 13: Athena UDFs and ML 18. Chapter 14: Lake Formation – Advanced Topics 19. Other Books You May Enjoy

Optimizing for performance and cost

Switching gears one last time, let's orient ourselves to optimizing our use of Athena. Again, remember that what is optimal differs depending on what your greater concerns are; either reducing your overall dollar costs or having the fastest possible experience, that's going to depend on your priorities. By the end of this section, you'll have a good starting point for achieving them.

Workload isolation

In Chapter 3, Key Features, Query Types, and Functions, we covered workgroups and how to leverage them to isolate workloads. Just to reiterate, workgroups allow you to splice up your Athena usage in such a way that you can specify who gets access to which data and how much of that data they can access through the WorkGroup resource and resource policies. Another huge benefit of workgroups is that you can visualize aggregated query metrics at the workgroup level. The way you can do this is when you create a workgroup, you make sure...

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